Lemercier, C., & Zalc, C. (2019), Quantitative Methods in the Humanities: An Introduction.
Graham, S., Milligan, I., Weingart, S. B., & Martin, K. (2022; 2nd edition). Exploring big historical data: the historian’s macroscope.
Feinstein, C.H., & Thomas, M. (2002), Making history count: A primer in quantitative methods for historians.
Blei, D. M. (2012). Probabilistic topic models. Communications of the ACM 55 (4): 77–84.
Schmidt, B. M. (2012). Words alone: Dismantling topic models in the humanities. Journal of Digital Humanities, 2(1).
Schmidt, B. M. (2016). Do digital humanists need to understand algorithms? In Debates in the Digital Humanities (Vol. 53), Matthew Gould and Lauren Klein (eds.).
Bollen, Johan, et al. “Historical language records reveal a surge of cognitive distortions in recent decades.” Proceedings of the National Academy of Sciences 118.30 (2021): https://www.pnas.org/doi/full/10.1073/pnas.2102061118 [Skim quickly for argument and to understand their source base]
Ben Schmidt on Twitter https://twitter.com/benmschmidt/status/1419497587296571395
These are not necessary prior to the workshop but are good reference materials for R and quantitative methods for further use.
Wickham, H. & Grolemund, G. (2022), R for Data Science. https://r4ds.had.co.nz
Imai, K., & Webb Williams, N. (2022), Quantitative Social Science: An introduction in tidyverse.
Hermansen, Silje S.L. (2019) Lær deg R: en innføring i statistikkprogrammets muligheter. [en fin norskspråklig innføring i R og i kvantitative metoder med gode samfunnsvitenskapelige eksempler]
2022.